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Evaluation of Fourier transform infrared (FT-IR) spectroscopy and chemometrics as a rapid approach for sub-typing Escherichia coli O157:H7 isolates

机译:傅立叶变换红外光谱(FT-IR)光谱和化学计量学评估作为亚型大肠杆菌O157:H7分离株亚型的快速方法

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The importance of tracking outbreaks of foodborne illness and the emergence of new virulent subtypes of foodborne pathogens have created the need for rapid and reliable sub-typing methods for Escherichia coli O157:H7. Fourier transform infrared (FT-IR) spectroscopy coupled with multivariate statistical analyses was used for sub-typing 30 strains of £ coli O157:H7 that had previously been typed by mul-tilocus variable number tandem repeat analysis (MLVA) and pulsed field gel electrophoresis (PFGE). Hierarchical cluster analysis (HCA) and canonical variate analysis (CVA) of the FT-IR spectra resulted in the clustering of the same or similar MLVA types and separation of different MLVA types of E. coli O157:H7. The developed FT-IR method showed better discriminatory power than PFGE in sub-typing E. coli O157:H7. Results also indicated the spectral relatedness between different outbreak strains. However, the grouping of some strains was not in complete agreement with the clustering based on PFGE and MLVA. Additionally, HCA of the spectra differentiated the strains into 30 sub-clusters, indicating the high specificity and suitability of the method for strain level identification. Strains were also classified (97% correct) based on the type of Shiga toxin present using CVA of the spectra. This study demonstrated that FT-IR spectroscopy is suitable for rapid (≤ 16 h) and economical sub-typing of E. coli O157:H7 with comparable accuracy to MLVA typing. This is the first report of using an FT-IR-based method for sub-typing E. coli O157:H7.
机译:追踪食源性疾病暴发和食源性病原体新的毒力亚型的出现的重要性,导致对大肠杆菌O157:H7的快速可靠亚型分型方法的需求。使用傅里叶变换红外(FT-IR)光谱技术和多元统计分析方法对30株O157:H7菌株进行亚型分型,这些菌株先前已通过多变量可变串联串联重复分析(MLVA)和脉冲场凝胶电泳进行分型(PFGE)。 FT-IR光谱的层次聚类分析(HCA)和规范变量分析(CVA)导致相同或相似MLVA类型的聚类以及不同MLVA类型的大肠杆菌O157:H7的分离。在分型大肠杆菌O157:H7中,发达的FT-IR方法显示出比PFGE更好的区分能力。结果还表明了不同爆发株之间的光谱相关性。然而,一些菌株的分组与基于PFGE和MLVA的聚类不完全一致。此外,光谱的HCA将菌株区分为30个亚类,表明该菌株水平鉴定方法具有很高的特异性和适用性。还使用光谱的CVA根据存在的志贺毒素的类型对菌株进行了分类(正确率为97%)。这项研究表明,FT-IR光谱仪适用于O157:H7大肠杆菌的快速(≤16小时)和经济的亚型分析,其准确性与MLVA分型相当。这是使用基于FT-IR的方法对大肠杆菌O157:H7进行亚型分型的第一份报告。

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